Name: Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach (en Inglés)
SKU: 57784483
Price: 3203.49 MXN
Availability: InStock
Author: Taguchi, Y-H
ISBN: 9783031609817

portada Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach (en Inglés)

Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Taguchi, Y-H

Idioma

Inglés

N° páginas

510

Encuadernación

Tapa Dura

ISBN13

9783031609817

N° edición

0002

Categorías

Investigación científica
Biología, ciencias de la vida
Ingeniería de las comunicaciones/las telecomunicaciones

Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach (en Inglés)

Taguchi, Y-H (Autor) · Springer · Tapa Dura

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Reseña del libro "Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach (en Inglés)"

This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.